Application of electroencephalography-based machine learning in emotion recognition: A review

J Cai, R Xiao, W Cui, S Zhang, G Liu - Frontiers in Systems …, 2021 - frontiersin.org
Emotion recognition has become increasingly prominent in the medical field and human-
computer interaction. When people's emotions change under external stimuli, various …

Temporal variations in the pattern of breathing: techniques, sources, and applications to translational sciences

Y Oku - The Journal of Physiological Sciences, 2022 - Springer
The breathing process possesses a complex variability caused in part by the respiratory
central pattern generator in the brainstem; however, it also arises from chemical and …

The influence of indoor environmental factors on learning: An experiment combining physiological and psychological measurements

YK Juan, Y Chen - Building and Environment, 2022 - Elsevier
Poor learning environments can easily lead to ineffective learning. Hence, previous studies
attempted to measure learning environments upon the psychological perceptions of the …

EEG emotion classification network based on attention fusion of multi-channel band features

X Zhu, W Rong, L Zhao, Z He, Q Yang, J Sun, G Liu - Sensors, 2022 - mdpi.com
Understanding learners' emotions can help optimize instruction sand further conduct
effective learning interventions. Most existing studies on student emotion recognition are …

Automatic classification of emotions based on cardiac signals: a systematic literature review

AF Claret, KR Casali, TS Cunha, MC Moraes - Annals of Biomedical …, 2023 - Springer
Emotions play a pivotal role in human cognition, exerting influence across diverse domains
of individuals' lives. The widespread adoption of artificial intelligence and machine learning …

Human error prediction using heart rate variability and electroencephalography

N Takada, T Laohakangvalvit, M Sugaya - Sensors, 2022 - mdpi.com
As human's simple tasks are being increasingly replaced by autonomous systems and
robots, it is likely that the responsibility of handling more complex tasks will be more often …

AST-Graph Convolution Network and LSTM Based Employees Behavioral and Emotional Reactions to Corporate Social Irresponsibility

IAK Shaikh, CNS Kumar, P Rohini… - 2023 Second …, 2023 - ieeexplore.ieee.org
While more evidences exist on how workers feel about their company's CSR initiatives over
the past decade, much less is known about how they feel about their company's CSiR …

Dimensional emotion recognition from camera-based PRV features

K Zhou, M Schinle, W Stork - Methods, 2023 - Elsevier
Heart rate variability (HRV) is an important indicator of autonomic nervous system activity
and can be used for the identification of affective states. The development of remote …

Mapping Growing Stem Volume Using Dual-Polarization GaoFen-3 SAR Images in Evergreen Coniferous Forests

Z Ye, J Long, H Zheng, Z Liu, T Zhang, Q Wang - Remote Sensing, 2023 - mdpi.com
Unaffected by cloud cover and solar illumination, synthetic aperture radar (SAR) images
have great capability to map forest growing stem volume (GSV) in complex biophysical …

Prototyping a Zoomorphic Interactive Robot Companion with Emotion Recognition and Affective Voice Interaction for Elderly People

B Schnitzer, UC Vural, B Schnitzer, MU Sardar… - Proceedings of the …, 2024 - dl.acm.org
An aging society paired with a skilled labor shortage, particularly in European countries,
requires a rethinking of deprecated structures. Intelligent assistive technologies, specifically …